Marketing 201 for Chauffeur & Limo Operators: SEO vs AEO vs GEO (How AI Search Gets You Bookings)

Описание: Marketing 201 (GNet Workshop) — Thore Weber breaks down how organic bookings work in 2026 and the real differences between:

SEO (Search Engine Optimization) → get found

AEO (Answer Engine Optimization) → get trusted

GEO (Generative Engine Optimization) → get recommended by AI

Search isn’t just “blue links” anymore. Today, customers get AI summaries, instant answers, voice results, and map-first visibility—often before they ever click a website. This session shows ground transportation operators how to build a practical “triple-stack” strategy that improves discoverability across Google, featured snippets, and AI assistants.

What you’ll learn

✅ Where organic reservations actually come from (and what matters most)
✅ Why Google Business Profile is your #1 discovery engine
✅ How to build airport pages + corridor pages that rank and convert
✅ How to structure FAQs so Google can extract and feature your answers
✅ How AI search works (RAG: retrieval + synthesis + citations) and what content AI trusts
✅ The “boring clarity” assets that get cited: policies, pickup instructions, fleet tables, pricing transparency
✅ A simple action plan you can start today

Quick action plan (do this now)

Audit your Google Business Profile (services, hours, service area, photos, reviews)

Upload 10+ high-quality photos (fleet, interiors, chauffeurs, airport pickup)

Create 1 airport landing page with pickup instructions + fleet options + pricing clarity

Add 10–20 FAQs using an H2 question + 40–80 word answer format

Publish a fleet capacity table (passengers + luggage)

Complete your GNet Connect profile (locations, services, fleet, documents)

📍 Meet us at the CD/NLA Show in Las Vegas (March 1–3)
• Visit us at Booth #43
• Join the GNet Users Group Session: March 1 at 10:15 AM (RSVP link coming soon)

🔗 Learn more about GNet Connect: complete your profile to improve partner visibility and AI discoverability.
https://connect.grdd.net/

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